dendextend: Extending R's Dendrogram Functionality

Offers a set of functions for extending dendrogram objects in R, letting you visualize and compare trees of hierarchical clusterings. You can (1) Adjust a tree's graphical parameters - the color, size, type, etc of its branches, nodes and labels. (2) Visually and statistically compare different dendrograms to one another.

Version: 1.3.0
Depends: R (≥ 3.0.0)
Imports: utils, stats, magrittr (≥ 1.0.1), ggplot2, fpc, whisker
Suggests: dendextendRcpp (≥ 0.5.0), knitr, rmarkdown, testthat, seriation, colorspace, plyr, ape, profdpm, microbenchmark, gplots, NMF, heatmaply, d3heatmap, dynamicTreeCut, pvclust, corrplot, DendSer, MASS, cluster, circlize (≥ 0.2.5), covr
Enhances: ggdendro, labeltodendro, dendroextras, data.table, rpart
Published: 2016-08-27
Author: Tal Galili [aut, cre, cph] (, Gavin Simpson [ctb], Gregory Jefferis [aut, ctb] (imported code from his dendroextras package), Marco Gallotta [ctb] (a.k.a: marcog), Johan Renaudie [ctb] (, The R Core Team [ctb] (Thanks for the Infastructure, and code in the examples), Kurt Hornik [ctb], Uwe Ligges [ctb], Andrej-Nikolai Spiess [ctb], Steve Horvath [ctb], Peter Langfelder [ctb], skullkey [ctb], Mark Van Der Loo [ctb] ( d3dendrogram), Andrie de Vries [ctb] (ggdendro author), Zuguang Gu [ctb] (circlize author), Yoav Benjamini [ths]
Maintainer: Tal Galili <tal.galili at>
License: GPL-2 | GPL-3
NeedsCompilation: no
Citation: dendextend citation info
Materials: README NEWS ChangeLog
In views: Cluster, Phylogenetics
CRAN checks: dendextend results


Reference manual: dendextend.pdf
Vignettes: Hierarchical cluster analysis on famous data sets
Frequently asked questions
A quick introduction to dendextend (start here)
Introduction to dendextend
Package source: dendextend_1.3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: dendextend_1.3.0.tgz, r-oldrel: dendextend_1.3.0.tgz
Old sources: dendextend archive

Reverse dependencies:

Reverse depends: dendextendRcpp, EnsCat
Reverse imports: d3heatmap, factoextra, heatmaply, MiRAnorm, semiArtificial, seriation
Reverse suggests: circlize, CluMix, pergola


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